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INTRODUCTION TO DATA STRUCTURE

INTRODUCTION TO DATA STRUCTURE. Topics To Be Discussed………………………. Meaning of Data Structure Classification of Data Structure Data Structure Operations. DATA STRUCTURE

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INTRODUCTION TO DATA STRUCTURE

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  1. INTRODUCTION TO DATA STRUCTURE

  2. Topics To Be Discussed………………………. • Meaning of Data Structure • Classification of Data Structure • Data Structure Operations

  3. DATA STRUCTURE A data structure is a class of data that can be characterized by its organization and the operations that are defined on it. Data Structure = Organized Data + Allowed Operations In other words, the organized collection of data is called data structure. A Data structure is a set of values along with the set of operations permitted on them. It is also required to specify the semantics of operations permitted on the data values, and this is done by using set of axioms, which describes how these operations work.

  4. Therefore a data structure is made of : • A set of data values • A set of functions specifying the operations permitted on the data values • A set of axioms describing how these operations work.

  5. Classification of Data Structure There are various ways to classify data structure : • Primitive and Non-Primitive Data Structure • Linear and Non-Linear Data Structure • Homogenous and Non-Homogeneous Data Structure • Static and Dynamic Data Structure

  6. Primitive and Non-Primitive Data Structure The data structure that are atomic (indivisible) are called primitive. Example are integer, real, Boolean and characters. The data structure that are not atomic are called non-primitive or composite. Example are records, array and string.

  7. Linear and Non- Linear Data Structure In a linear data structure, the data items are arranged in a linear sequence. Example is array. In a non-Linear data structure, the data items are not in a sequence. Example is tree.

  8. Homogeneous and Non- Homogenous Data Structure In Homogeneous Structure, all the elements are of same type. Example is arrays. In Non-homogeneous structure, the elements may or may not be of same type. Example is records.

  9. Static and Dynamic Data Structure Static structures are ones whose sizes and structures, associated memory location are fixed at compile time. Dynamic structures are ones which expand or shrink as required during the program execution and there associated memory location change.

  10. Data Structure Operations There are six basic operations that can be performed on data structure:- • Traversing • Searching • Sorting • Inserting • Deleting • Merging

  11. (a)  Traversing Traversing means accessing and processing each element in the data structure exactly once. This operation is used for counting the number of elements, printing the contents of the elements etc. b)  Searching Searching is finding out the location of a given element from a set of numbers.

  12. c)  Sorting Sorting is the process of arranging a list of elements in a sequential order. The sequential order may be descending order or an ascending order according to the requirements of the data structure. (d)  Inserting Inserting an element is adding an element in the data structure at any position. After insert operation the number of elements are increased by one.

  13. e)  Deleting Deleting an element is removing an element in the data structure at any position. After deletion operation the number of elements are decreased by one. (f)  Merging The process of combining the elements of two data structures into a single data structure is called merging.

  14. THANKS

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